Amazon.co.uk
Most artificial intelligence seems artificially dumb. Sure, Deep Blue can beat a chess grandmaster two games out of three, but could it get out of the way of an oncoming bus? AI researchers are coming to understand that if we want more than idiot savants, we'll need to build our machines from the ground up--a behaviour-based approach. Rolf Pfeifer, Head of the Artificial Intelligence Laboratory at the University of Zurich and Christian Scheier, Postdoctoral Fellow at the University of Zurich and Caltech, have put together
Understanding Intelligence, the definitive introduction to this approach for students, amateurs and professionals alike. As they admit, there are plenty of gaps in our knowledge, so they take pains to make our ignorance as well as our knowledge explicit and encourage thinking beyond the text with "Issues to Think About" at the end of each chapter.
Delving into neural networks, subsumption architecture, principles and design of intelligent systems, and future applications, the authors strive to exhaust the literature and compress it into concise, readable text with plenty of illustrations where appropriate. Given the freshness of the material, it feels less like a textbook and more like a treasure map--we don't know what we'll find when we get there but we know it's going to be good. Whether robotics is a career, a hobby or a side interest for you, Understanding Intelligence will help you get to work from the bottom up. --Rob Lightner, amazon.com
Amazon.com
Most artificial intelligence seems artificially dumb. Sure, Deep Blue can beat a chess grand master two games out of three, but could it get out of the way of an oncoming bus? AI researchers are coming to understand that if we want more than idiot savants for machines, we'll need to build them from the ground up--a behavior-based approach. Rolf Pfeifer, head of the Artificial Intelligence Laboratory at the University of Zurich, and Christian Scheier, postdoctoral fellow at the University of Zurich and Caltech, have put together
Understanding Intelligence, the definitive introduction to this approach for students, amateurs, and professionals alike. As they admit, there are plenty of gaps in our knowledge, so they take pains to make our ignorance as well as our knowledge explicit, and encourage thinking beyond the text with "Issues to Think About" at the end of each chapter.
Delving into neural networks, subsumption architecture, principles and design of intelligent systems, and future applications, the authors strive to exhaust the literature and compress it into concise, readable text with plenty of illustrations where appropriate. Given the freshness of the material, it feels less like a textbook and more like a treasure map--we don't know what we'll find when we get there, but we know it's going to be good. Whether robotics is a career, a hobby, or a side interest for you, Understanding Intelligence will help you get to work from the bottom up. --Rob Lightner
